AI Data Engineer Specialist
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Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.
Offer
· Career development according to your profile and interests.
· Work in one of the best companies and feel proud.
· Access to an innovative methodology and tools.
· Direct contact with experts worldwide.
· Use of work schemes and cutting-edge technologies.
· Constant training.
· Work environment based on teamwork and collaboration.
· Participation in International Projects
🚀 AI / Generative AI Data Engineer
Role Overview
We are seeking an innovative and highly skilled AI / Generative AI Data Engineer to design, develop, and deploy intelligent data solutions powered by Artificial Intelligence and Large Language Models (LLMs). This role combines expertise in data engineering, machine learning, and modern AI technologies to build scalable, production-ready AI applications that drive business value.
The ideal candidate is passionate about Generative AI, automation, and advanced analytics, with strong experience in Python, SQL, cloud-based data platforms, and AI integration frameworks.
🔹 Key Responsibilities
- Design, develop, and implement AI and Machine Learning solutions for enterprise-scale applications.
- Build and optimize applications powered by Large Language Models (LLMs) and Generative AI technologies.
- Develop and maintain RAG (Retrieval-Augmented Generation) architectures and AI-driven workflows.
- Create and refine effective prompt engineering strategies to improve AI model performance and accuracy.
- Develop scalable backend services and AI pipelines using Python.
- Design and optimize complex SQL queries and data models for analytics and AI workloads.
- Work with modern data platforms such as Databricks and Snowflake.
- Integrate AI services and applications through REST APIs and cloud-native architectures.
- Deploy AI/ML solutions into production environments ensuring scalability, reliability, and performance.
- Collaborate with cross-functional teams including Data Engineers, Data Scientists, Architects, and Product Owners.
- Apply best practices for code quality, security, governance, and responsible AI usage.
✅ Mandatory Skills
- 🤖 Artificial Intelligence (AI) – 3+ years
- 🧠 Machine Learning (ML) – 3+ years
- 💬 Large Language Models (LLMs) – 2+ years
- 🐍 Python – 3+ years
- 🗄️ SQL – 3+ years
⭐ Nice-to-Have Skills
- Prompt Engineering – 2+ years
- Databricks – 2+ years
- Generative AI Applications – 2+ years
- REST APIs / AI Integrations – 2+ years
- Snowflake – 3+ years
- LangChain / RAG frameworks
- Cloud platforms (AWS, Azure, or GCP)
📌 Additional Requirements
- 🌎 Advanced English proficiency
- 📍 Hybrid position based in Monterrey or Mexico City
- 🧠 Strong communication, collaboration, and problem-solving skills
- 🚀 Experience delivering scalable AI solutions in enterprise environments
#LI-LATAM
Monterrey
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